Basic HTML Version
Course
Pro-forma
Bachelor of Engineering (Electrical)
Code
KEEE4314
Title
Digital Signal Processing
Pre-requisite
None
Student Learning Time (SLT)
120 hours
Credit
3
Learning Outcomes
1.
Define the fundamental concepts such as 'linearity' , 'time-
invariance', 'impulse response', 'convolution', 'frequency
response', z-transforms and the 'discrete time Fourier
transform'. processing systems.
2.
Analyse the LTI systems using difference equations, DTFT
and Z-transforms.
3.
Design FIR type digital filters using windowing method
4.
Apply several design techniques for IIR type digital filters:
pole-zero placement, and the bilinear transformation
techniques.
5.
Design digital signal processing (DSP) systems such as digital
filters using MATLAB language.
6.
Define discrete Fourier transform (DFT), its applications and
its implementation by FFT techniques.
Synopsis
This course begins with the definition of continuous time
(analogue), discrete time and digital signals, Fourier series and
Fourier Transform. The discrete time linear time-invariant (LTI)
signal processing systems is covered in detail. The application of
Assessment
40 % Continuous Assessments
60 % Final Examination
References
1.
Sanjit K. Mitra, “Digital Signal Processing: A Computer Based
Approach”, 3rd Edition, McGraw-Hill International Edition,
2005
2.
Allen V.Oppenheim, Ronald W. Schafer and John R. Buck
“Discrete Time Signal Processing – 2nd Edition’, Prentice
Hall, 1999.
Soft Skills
Communication Skills (CS1, CS2,CS3)
Critical Thinking & Problem Solving (CT1, CT2, CT3)
Team Working Skills (TS1, TS2)
Lifelong Learning & Information Management (LL1, LL2, LL3)
Leadership Skills (LS1, LS2)